Intelligent network connection electric vehicle driving planning system

Abstract

The invention discloses an intelligent network connection electric vehicle driving planning system. The intelligent network connection electric vehicle driving planning system comprises a map processing module, a radar module, a route planning processing module and a driving control module. Wherein the radar module comprises a distance measuring unit, an image acquisition unit and a GPS positioning unit; an image acquisition unit in the radar module is used for acquiring real-time road condition information around a vehicle and sending detection information to the route planning processing module; the GPS positioning unit is used for sending the position information of the vehicle to the route planning processing module; the route planning processing module processes the information sent by the image processing module and the radar module and generates an optimal driving route, and the driving route of the vehicle is changed through the driving control module; the problem that road surface information which can be captured by a route planning system in the prior art is not rich in the driving process of the electric automobile is solved.

Description

Technical Field

[0001] The present invention relates to the field of automatic driving of electric vehicles, and in particular to a driving planning system for intelligent network-connected electric vehicles. Background Art

[0002] At present, electric vehicles are equipped with a driving route planning system, which can improve travel efficiency. By intelligently planning routes, unnecessary detours and congestion can be reduced, saving time and energy. At the same time, energy consumption can be reduced. The system will consider the battery life of the electric vehicle and plan the most energy-efficient route to reduce battery consumption. It can also enhance safety. By reducing the reliance on mobile phone navigation, drivers can focus more on driving and reduce the risk of traffic accidents caused by distracted navigation. For example, the Chinese patent with patent number CN202111250344.4 provides a route planning method, device, electronic device and storage medium. By obtaining the battery information and itinerary information of the electric vehicle, the initial route of the electric vehicle is planned according to the departure place, destination and user preferences. According to the vehicle condition data of the electric vehicle and the road traffic data of the initial route, the battery energy consumption of the electric vehicle during driving is determined. According to the initial route, battery energy consumption and the distribution map of charging stations, the target charging station is determined, and the initial route is adjusted according to the target charging station to obtain the target route. For example, the route planning system in the above-mentioned prior art does not capture rich road information during the driving of the electric vehicle. Summary of the invention

[0003] The purpose of the present invention is to provide a driving planning system for an intelligent networked electric vehicle, which solves the problem that the route planning system in the prior art cannot capture sufficient road surface information during the driving of the electric vehicle.

[0004] In order to achieve the above-mentioned purpose, the present invention provides a driving planning system for an intelligent networked electric vehicle, which includes a map processing module, a radar module, a route planning processing module and a driving control module; wherein the radar module includes a ranging unit, an image acquisition unit and a GPS positioning unit; wherein the map processing module is used to download the latest map data from a cloud server and transmit the map data to the route planning processing module; the ranging unit in the radar module is used to detect the distance between the vehicle and the surrounding obstacles, and send the detection data to the route planning processing module; the image acquisition unit in the radar module is used to collect real-time road condition information around the vehicle, and send the detection information to the route planning processing module; the GPS positioning unit is used to send the vehicle's location information to the route planning processing module; the route planning processing module processes the information sent by the map processing module and the radar module, and produces an optimal driving route, and changes the vehicle's driving route through the driving control module.

[0005] Preferably, the map processing module is connected to the cloud server via a 5G network.

[0006] Preferably, the cloud server timely uploads the information of nearby road traffic accidents, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

[0007] Preferably, the cloud server timely uploads the traffic light status information of nearby roads, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

[0008] Preferably, the cloud server timely uploads nearby road construction information and road occupancy information, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

[0009] Preferably, the ranging unit is one of a laser radar, a millimeter wave radar or an ultrasonic radar.

[0010] Preferably, the route planning processing module is connected to the driving control module through the emergency braking module. When the distance measuring unit detects that the distance to the obstacle is less than a preset value, the vehicle is controlled to stop suddenly through the emergency braking module and the driving control module.

[0011] Preferably, the route planning processing module is connected to a power monitoring module. When the power monitoring module detects that the power of the electric vehicle is lower than a preset value, the optimal route including the nearby charging station is changed.

[0012] Beneficial effects: The present invention provides a driving planning system for an intelligent networked electric vehicle, which includes a map processing module, a radar module, a route planning processing module and a driving control module; wherein the radar module includes a ranging unit, an image acquisition unit and a GPS positioning unit; wherein the map processing module is used to download the latest map data from a cloud server and transmit the map data to the route planning processing module; the ranging unit in the radar module is used to detect the distance between the vehicle and surrounding obstacles, and send the detection data to the route planning processing module; the image acquisition unit in the radar module is used to collect real-time road condition information around the vehicle, and send the detection information to the route planning processing module; the GPS positioning unit is used to send the vehicle's location information to the route planning processing module; the route planning processing module processes the information sent by the map processing module and the radar module, and produces an optimal driving route, and changes the vehicle's driving route through the driving control module; the driving planning system for an intelligent networked electric vehicle provided by the present invention can use the real-time map downloaded from the cloud server as the basis for route planning, combined with the ranging unit and image acquisition unit on the vehicle radar module, to adjust the route planning according to the specific conditions around the vehicle, and the system provided by the present invention can improve travel efficiency and enhance safety.

[0013] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present invention but do not constitute a limitation of the present invention. In the accompanying drawings:

[0015] Figure 1 It is a module diagram of the intelligent networked electric vehicle driving planning system provided by the present invention. DETAILED DESCRIPTION

[0016] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0017] like Figure 1 As shown: The present invention provides a driving planning system for an intelligent networked electric vehicle, the driving planning system for an intelligent networked electric vehicle includes a map processing module, a radar module, a route planning processing module and a driving control module; wherein the radar module includes a distance measuring unit, an image acquisition unit and a GPS positioning unit; wherein the map processing module is used to download the latest map data from the cloud server and transmit the map data to the route planning processing module; the distance measuring unit in the radar module is used to detect the distance between the vehicle and the surrounding obstacles, and send the detection data to the route planning processing module; the image acquisition unit in the radar module is used to collect real-time road condition information around the vehicle, and send the detection information to the route planning processing module; the GPS positioning unit is used to send the vehicle's location information to the route planning processing module; the route planning processing module processes the information sent by the map processing module and the radar module, and produces the optimal driving route, and changes the vehicle's driving route through the driving control module. The driving planning system for an intelligent networked electric vehicle provided by the present invention can use the real-time map downloaded from the cloud server as the basis for route planning, and can adjust the route planning according to the specific conditions around the vehicle in combination with the distance measuring unit and the image acquisition unit on the vehicle radar module. The system provided by the present invention can improve travel efficiency and enhance safety.

[0018] In a preferred embodiment of the present invention, the map processing module is connected to the cloud server via a 5G network.

[0019] In a preferred embodiment of the present invention, in order to timely adjust the planned route according to traffic accidents on nearby roads, the cloud server timely uploads information on nearby road traffic accidents, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

[0020] In a preferred embodiment of the present invention, in order to timely adjust the planned route according to the status of traffic lights on nearby roads, the cloud server timely uploads the status information of traffic lights on nearby roads, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

[0021] In a preferred embodiment of the present invention, in order to timely adjust the planned route according to the road occupancy status of nearby roads, the cloud server timely uploads nearby road construction information and road occupancy information, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

[0022] In a preferred embodiment of the present invention, in order to better perform the ranging operation, the ranging unit is one of a laser radar, a millimeter wave radar or an ultrasonic radar.

[0023] In a preferred embodiment of the present invention, in order to improve driving safety, the route planning processing module is connected to the driving control module through the emergency braking module. When the ranging unit detects that the distance to the obstacle is less than a preset value, the vehicle is controlled to stop suddenly through the emergency braking module and the driving control module.

[0024] In a preferred embodiment of the present invention, in order to be able to adjust the driving route in time according to the power level and facilitate the selection of charging stations, a power monitoring module is connected to the route planning processing module. When the power monitoring module detects that the power level of the electric vehicle is lower than a preset value, the optimal route including nearby charging stations is changed.

[0025] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, a variety of simple modifications can be made to the technical solution of the present invention, and these simple modifications all belong to the protection scope of the present invention.

[0026] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations.

[0027] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A driving planning system for an intelligent network-connected electric vehicle, characterized in that: The intelligent network-connected electric vehicle driving planning system includes a map processing module, a radar module, a route planning processing module and a driving control module; wherein the radar module includes a distance measurement unit, an image acquisition unit and a GPS positioning unit; The map processing module is used to download the latest map data from the cloud server and transmit the map data to the route planning processing module; The ranging unit in the radar module is used to detect the distance between the vehicle and surrounding obstacles and send the detection data to the route planning processing module; The image acquisition unit in the radar module is used to collect real-time road condition information around the vehicle and send the detection information to the route planning processing module; The GPS positioning unit is used to send the vehicle's location information to the route planning processing module; The route planning processing module processes the information sent by the image processing module and the radar module, produces the optimal driving route, and changes the vehicle driving route through the driving control module.

2. The intelligent network-connected electric vehicle driving planning system according to claim 1 is characterized in that: The map processing module is connected to the cloud server via the 5G network.

3. The intelligent network-connected electric vehicle driving planning system according to claim 2 is characterized in that: The cloud server timely uploads the information of nearby road traffic accidents, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

4. The intelligent network-connected electric vehicle driving planning system according to claim 3 is characterized in that: The cloud server timely uploads the traffic light status information of nearby roads, and the map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

5. The intelligent network-connected electric vehicle driving planning system according to claim 4, characterized in that: The cloud server timely uploads the nearby road construction information and road occupancy information. The map processing module downloads the above information from the cloud server and sends it to the route planning processing module.

6. The intelligent network-connected electric vehicle driving planning system according to claim 5, characterized in that: The ranging unit is one of a laser radar, a millimeter wave radar or an ultrasonic radar.

7. The intelligent network-connected electric vehicle driving planning system according to claim 6, characterized in that: The route planning processing module is connected to the driving control module through the emergency braking module. When the distance measuring unit detects that the distance to the obstacle is less than a preset value, the emergency braking module and the driving control module are used to control the vehicle to stop suddenly.

8. The intelligent network-connected electric vehicle driving planning system according to claim 7, characterized in that: The route planning processing module is connected to a power monitoring module. When the power monitoring module detects that the power of the electric vehicle is lower than a preset value, the optimal route including the nearby charging station is changed.

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